Bayesian numerical analysis: global optimization and other applications
<p>We present a unifying framework for the global optimization of functions which are expensive to evaluate. The framework is based on a Bayesian interpretation of radial basis function interpolation which incorporates existing methods such as Kriging, Gaussian process regression and neural ne...
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| Формат: | Дисертація |
| Мова: | English |
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2011
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